Darren Jehonathan

Detail-oriented and highly analytical Data Analyst with a strong academic foundation in computer science and hands-on experience in IT auditing, logistics operations, and B2B market research. Adept at leveraging Web Scraping, SQL, and data visualization tools (Tableau, Power BI) for advanced data interpretation and data storytelling. Proven ability to execute data mining and build robust datasets to optimize operational workflows, bridge operations with sales, and support data strategy and predictive analytics.

Deeply interested in driving data-backed decisions within E-commerce, Sales, and Finance sectors.

IT & Data Auditor at PT. PUTRAGUNA JAYAMULIA (2026-06 – Present)

• Conducting a comprehensive data audit on procurement workflows, spare parts, and tire requests for a large-scale expedition fleet.
• Executing data collection and data mining strategies to establish a centralized inventory database for operational tracking.
• Laying the groundwork for a data strategy aimed at leveraging predictive analytics to forecast future fleet maintenance requirements and optimize supply chain costs.

Marketing & Operations Associate at PT. PUTRAGUNA JAYAMULIA (2025-09 – 2026-06)

• Spearheaded end-to-end B2B client acquisition through targeted field marketing, active follow-ups, and strategic relationship management within the logistics sector.
• Assisted in coordinating day-to-day logistics operations, ensuring smooth supply chain workflows, timely dispatch scheduling, and accurate tracking of client shipments.
• Leveraged field interaction data and customer feedback to refine sales targeting, prioritize high-value leads, and optimize operational delivery routes.

Data Researcher & Market Analyst at INDO TEHNIK MAKASSAR (2026-03 – Present)

• Extracted 700+ B2B prospects using Python (Fircrawl) and SerpApi, building comprehensive databases for lead generation.
• Analyzed regional market data to identify high-value demographics, increasing lead quality by 25% (raising the volume of sales-qualified leads from 80 to 100 per campaign) and informing sales outreach.
• Optimized lead generation campaigns by maintaining structured prospect datasets, improving operational efficiency by 15% (reducing manual data processing time from 20 hours to 17 hours per week).

Bachelor of Computer Science in Computer Science – BINUS UNIVERSITY (BINUS ONLINE LEARNING) (2029)